{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PkzOKBirz271"
      },
      "source": [
        "# Anomaly detection with embeddings"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZFWzQEqNosrS"
      },
      "source": [
        "<table align=\"left\">\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Anomaly_detection_with_embeddings.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
        "  </td>\n",
        "</table>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BQPvHyHCz7mk"
      },
      "source": [
        "## Overview\n",
        "\n",
        "This tutorial demonstrates how to use the embeddings from the Gemini API to detect potential outliers in your dataset. You will visualize a subset of the 20 Newsgroup dataset using [t-SNE](https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) and detect outliers outside a particular radius of the central point of each categorical cluster.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LyLLYVEhzud8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/137.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.7/137.4 kB\u001b[0m \u001b[31m1.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━\u001b[0m \u001b[32m92.2/137.4 kB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.4/137.4 kB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "!pip install -U -q google.generativeai"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Z5GJi99k0Ctz"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "import tqdm\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "import google.generativeai as genai\n",
        "import google.ai.generativelanguage as glm\n",
        "\n",
        "# Used to securely store your API key\n",
        "from google.colab import userdata\n",
        "\n",
        "from sklearn.datasets import fetch_20newsgroups\n",
        "from sklearn.manifold import TSNE"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yi0kitgd5aLG"
      },
      "source": [
        "To run the following cell, your API key must be stored it in a Colab Secret named `GOOGLE_API_KEY`. If you don't already have an API key, or you're not sure how to create a Colab Secret, see the [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb) quickstart for an example."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6OeEZ5Bj5Zr8"
      },
      "outputs": [],
      "source": [
        "API_KEY=userdata.get('GOOGLE_API_KEY')\n",
        "genai.configure(api_key=API_KEY)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qhWtEhZ6BO58"
      },
      "source": [
        "## Prepare dataset\n",
        "\n",
        "The [20 Newsgroups Text Dataset](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html){:.external} contains 18,000 newsgroups posts on 20 topics divided into training and test sets. The split between the training and test datasets are based on messages posted before and after a specific date. This tutorial uses the training subset."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YtHABp9BBTIt"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['alt.atheism',\n",
              " 'comp.graphics',\n",
              " 'comp.os.ms-windows.misc',\n",
              " 'comp.sys.ibm.pc.hardware',\n",
              " 'comp.sys.mac.hardware',\n",
              " 'comp.windows.x',\n",
              " 'misc.forsale',\n",
              " 'rec.autos',\n",
              " 'rec.motorcycles',\n",
              " 'rec.sport.baseball',\n",
              " 'rec.sport.hockey',\n",
              " 'sci.crypt',\n",
              " 'sci.electronics',\n",
              " 'sci.med',\n",
              " 'sci.space',\n",
              " 'soc.religion.christian',\n",
              " 'talk.politics.guns',\n",
              " 'talk.politics.mideast',\n",
              " 'talk.politics.misc',\n",
              " 'talk.religion.misc']"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "newsgroups_train = fetch_20newsgroups(subset='train')\n",
        "\n",
        "# View list of class names for dataset\n",
        "newsgroups_train.target_names"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LPKgmQDQC3zd"
      },
      "source": [
        "Here is the first example in the training set."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CSXYP0JwBXHh"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Lines: 15\n",
            "\n",
            " I was wondering if anyone out there could enlighten me on this car I saw\n",
            "the other day. It was a 2-door sports car, looked to be from the late 60s/\n",
            "early 70s. It was called a Bricklin. The doors were really small. In addition,\n",
            "the front bumper was separate from the rest of the body. This is \n",
            "all I know. If anyone can tellme a model name, engine specs, years\n",
            "of production, where this car is made, history, or whatever info you\n",
            "have on this funky looking car, please e-mail.\n",
            "\n",
            "Thanks,\n",
            "- IL\n",
            "   ---- brought to you by your neighborhood Lerxst ----\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "idx = newsgroups_train.data[0].index('Lines')\n",
        "print(newsgroups_train.data[0][idx:])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Raafa2naC6Ec"
      },
      "outputs": [],
      "source": [
        "# Apply functions to remove names, emails, and extraneous words from data points in newsgroups.data\n",
        "newsgroups_train.data = [re.sub(r'[\\w\\.-]+@[\\w\\.-]+', '', d) for d in newsgroups_train.data] # Remove email\n",
        "newsgroups_train.data = [re.sub(r\"\\([^()]*\\)\", \"\", d) for d in newsgroups_train.data] # Remove names\n",
        "newsgroups_train.data = [d.replace(\"From: \", \"\") for d in newsgroups_train.data] # Remove \"From: \"\n",
        "newsgroups_train.data = [d.replace(\"\\nSubject: \", \"\") for d in newsgroups_train.data] # Remove \"\\nSubject: \"\n",
        "\n",
        "# Cut off each text entry after 5,000 characters\n",
        "newsgroups_train.data = [d[0:5000] if len(d) > 5000 else d for d in newsgroups_train.data]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZjE_Lsr6IhEd"
      },
      "outputs": [
        {
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            "text/plain": [
              "                                                    Text  Label  \\\n",
              "0       WHAT car is this!?\\nNntp-Posting-Host: rac3.w...      7   \n",
              "1       SI Clock Poll - Final Call\\nSummary: Final ca...      4   \n",
              "2       PB questions...\\nOrganization: Purdue Univers...      4   \n",
              "3       Re: Weitek P9000 ?\\nOrganization: Harris Comp...      1   \n",
              "4       Re: Shuttle Launch Question\\nOrganization: Sm...     14   \n",
              "...                                                  ...    ...   \n",
              "11309    Re: Migraines and scans\\nDistribution: world...     13   \n",
              "11310  Screen Death: Mac Plus/512\\nLines: 22\\nOrganiz...      4   \n",
              "11311   Mounting CPU Cooler in vertical case\\nOrganiz...      3   \n",
              "11312   Re: Sphere from 4 points?\\nOrganization: Cent...      1   \n",
              "11313   stolen CBR900RR\\nOrganization: California Ins...      8   \n",
              "\n",
              "                     Class Name  \n",
              "0                     rec.autos  \n",
              "1         comp.sys.mac.hardware  \n",
              "2         comp.sys.mac.hardware  \n",
              "3                 comp.graphics  \n",
              "4                     sci.space  \n",
              "...                         ...  \n",
              "11309                   sci.med  \n",
              "11310     comp.sys.mac.hardware  \n",
              "11311  comp.sys.ibm.pc.hardware  \n",
              "11312             comp.graphics  \n",
              "11313           rec.motorcycles  \n",
              "\n",
              "[11314 rows x 3 columns]"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Put training points into a dataframe\n",
        "df_train = pd.DataFrame(newsgroups_train.data, columns=['Text'])\n",
        "df_train['Label'] = newsgroups_train.target\n",
        "# Match label to target name index\n",
        "df_train['Class Name'] = df_train['Label'].map(newsgroups_train.target_names.__getitem__)\n",
        "\n",
        "df_train"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f7OHvTBaImpB"
      },
      "source": [
        "Next, sample some of the data by taking 150 data points in the training dataset and choosing a few categories. This tutorial uses the science categories."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yPxwl05BIjWX"
      },
      "outputs": [
        {
          "data": {
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              "summary": "{\n  \"name\": \"df_train\",\n  \"rows\": 600,\n  \"fields\": [\n    {\n      \"column\": \"index\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 173,\n        \"min\": 1650,\n        \"max\": 2249,\n        \"num_unique_values\": 600,\n        \"samples\": [\n          1760,\n          2069,\n          2215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 600,\n        \"samples\": [\n          \" Re: Do we need the clipper for cheap security?\\nOrganization: InterCon Systems Corporation - Herndon, VA  USA\\nLines: 24\\nDistribution: world\\nReply-To:  \\nNNTP-Posting-Host: chaos.intercon.com\\nX-Newsreader: InterCon TCP/Connect II 1.1\\n\\n  writes:\\n> Instead we have a deliberately brain-dead version of a cryptosystem \\n> that has not even been peer reviewed.  Yes, the NSA owns some smart \\n> people.  But if they pulled a FEAL, well, AT&T is going to be left with \\n> a lot of dud phones on its hands. \\n\\nAgreed.  Remember, I don't even think of Clipper as encryption in any real \\nsense--if I did, I'd probably be a lot more annoyed about it.\\n\\n> Heh heh.  The government already gave it up for us.  Remember in the \\n> announcement they described this scheme as balancing the two \\n> extremes of having no privacy and claiming that citizens had a \\n> Constitutional right to encryption?  \\n\\nThat's not for Clinton  to say, though.  Only the \\nfederal and supreme courts can say anything about the constitutionality.\\nAnything the administration or any governmental agency says is opinion at \\nbest.\\n\\n\\nAmanda Walker\\nInterCon Systems Corporation\\n\\n\\n\",\n          \" Re: Is MSG sensitivity superstition?\\nArticle-I.D.: shelley.1qvq10INNlij\\nDistribution: na\\nOrganization: University of Washington, Seattle\\nLines: 38\\nNNTP-Posting-Host: carson.u.washington.edu\\n\\nIn article <>   writes:\\n>As nobody in the food industry has even bothered to address my previous\\n>question \\\"WHY DO YOU NEED TO PUT MSG IN ALMOST EVERY FOOD?\\\" I must assume\\n>that my wife's answer is closer to the truth than I hoped it was.\\nI don't mean to be disrespectful to your concerns, but it seems to me \\nthat you're getting all wound up in a non-issue.  \\n\\nAs many knowledgeable people have pointed out, msg is a naturally \\noccurring substance in a lot, if not most, foods.  When food \\nmanufacturers add it to a preparation, they do so because it's a \\nknown flavor enhancer. \\n\\nYour wife's theory, that MSG is added to food to stimulate appetite, \\nmay well be true.  But I don't believe it's ALWAYS the reason it's \\nadded.  People are  in charge of their \\nown appetites. \\n\\n>children's and my parent's) seem to fixate on a particular brand of pet\\n>food. The cat will eat any product within one brand and not any other\\n>brand.  I have wondered if this is not a case of preference, but, some\\n>sort of chemical training or addiction. My questions, for the net, are:\\n>Does the FDA regulate the contents of pet food?  Is it allowed for pet\\n>food to contain addictive or conditioning substances?  Is MSG put in \\n>pet food?\\n>\\nYou don't know much about cats, do you? \\n\\nCats will Take Advantage of You.  Resign yourself:  you will never  \\nunderstand a cat.  Their tastes are whimsical.  \\n\\nI also suspect, though it's been a while since I've checked ingredients \\non commercial cat food, that there are much more stringent requirements \\non pet food additives than human.  \\n\\nSee, the FDA has this stupid idea that human beings have the intelligence \\nto look out after their own interests.  \\n\\nBarbara, wondering how her cat would take care of *her*\\n\",\n          \" Re: HLV for Fred \\nArticle-I.D.: iti.1993Apr6.124456.14123\\nOrganization: Evil Geniuses for a Better Tomorrow\\nLines: 22\\n\\nIn article <>   writes:\\n\\n>>[Titan III is the cheapest US launcher on a $/lb basis]\\n\\n>In that case it's rather ironic that they are doing so poorly on the commercial\\n>market.  Is there a single Titan III on order?\\n\\nThey have a few problems. The biggest technical problem is the need to find\\ntwo satellites going to the same rough orbit for a luanch.\\n\\nThey also don't show much interest in commercial launches. There is more\\nmoney to be made churning out Titan IV's for the government. After all,\\nit isn't every day you find a sucker, er, customer who thinks paying\\nthree times the commercial rate for launch services is a good idea!\\n\\n  Allen\\n\\n-- \\n+---------------------------------------------------------------------------+\\n| Allen W. Sherzer | \\\"A great man is one who does nothing but leaves        |\\n|       |  nothing undone\\\"                                       |\\n+----------------------71 DAYS TO FIRST FLIGHT OF DCX-----------------------+\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 11,\n        \"max\": 14,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          12,\n          14,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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              "      --fill-color: #D2E3FC;\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
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              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
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              "      quickchartButtonEl.style.display =\n",
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              "</div>\n",
              "\n",
              "  <div id=\"id_949b567a-b1c3-4dee-9af2-e713d1e728f0\">\n",
              "    <style>\n",
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              "\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
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              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_train')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "        document.querySelector('#id_949b567a-b1c3-4dee-9af2-e713d1e728f0 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_train');\n",
              "      }\n",
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              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "     index                                               Text  Label  \\\n",
              "0     1650   Re: Once tapped, your code is no good any mor...     11   \n",
              "1     1651   Re: The Old Key Registration Idea...\\nOrganiz...     11   \n",
              "2     1652   Re: text of White House announcement and Q&As...     11   \n",
              "3     1653   Re: Facinating facts: 30 bit serial number, p...     11   \n",
              "4     1654   Re: Clipper considered harmful\\nSummary: Buck...     11   \n",
              "..     ...                                                ...    ...   \n",
              "595   2245   Re: How to read sci.space without netnews\\nOr...     14   \n",
              "596   2246   Re: Sunrise/ sunset times\\nOrganization: U of...     14   \n",
              "597   2247   Re: Moonbase race, NASA resources, why?\\nOrga...     14   \n",
              "598   2248   El Sets\\nOrganization: MIT Lincoln Laboratory...     14   \n",
              "599   2249   Re: Space Debris\\nNntp-Posting-Host: rintinti...     14   \n",
              "\n",
              "    Class Name  \n",
              "0    sci.crypt  \n",
              "1    sci.crypt  \n",
              "2    sci.crypt  \n",
              "3    sci.crypt  \n",
              "4    sci.crypt  \n",
              "..         ...  \n",
              "595  sci.space  \n",
              "596  sci.space  \n",
              "597  sci.space  \n",
              "598  sci.space  \n",
              "599  sci.space  \n",
              "\n",
              "[600 rows x 4 columns]"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Take a sample of each label category from df_train\n",
        "SAMPLE_SIZE = 150\n",
        "df_train = (df_train.groupby('Label', as_index = False)\n",
        "                    .apply(lambda x: x.sample(SAMPLE_SIZE))\n",
        "                    .reset_index(drop=True))\n",
        "\n",
        "# Choose categories about science\n",
        "df_train = df_train[df_train['Class Name'].str.contains('sci')]\n",
        "\n",
        "# Reset the index\n",
        "df_train = df_train.reset_index()\n",
        "df_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UjTrEnmdIo5P"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "sci.crypt          150\n",
              "sci.electronics    150\n",
              "sci.med            150\n",
              "sci.space          150\n",
              "Name: Class Name, dtype: int64"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train['Class Name'].value_counts()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DUgv8SOwXfAX"
      },
      "source": [
        "## Create the embeddings\n",
        "\n",
        "In this section, you will see how to generate embeddings for the different texts in the dataframe using the embeddings from the Gemini API."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "01I9uzbo4t26"
      },
      "source": [
        "### API changes to Embeddings with model embedding-001\n",
        "\n",
        "For the new embeddings model, embedding-001, there is a new task type parameter and the optional title (only valid with task_type=`RETRIEVAL_DOCUMENT`).\n",
        "\n",
        "These new parameters apply only to the newest embeddings models.The task types are:\n",
        "\n",
        "Task Type | Description\n",
        "---       | ---\n",
        "RETRIEVAL_QUERY\t| Specifies the given text is a query in a search/retrieval setting.\n",
        "RETRIEVAL_DOCUMENT | Specifies the given text is a document in a search/retrieval setting.\n",
        "SEMANTIC_SIMILARITY\t| Specifies the given text will be used for Semantic Textual Similarity (STS).\n",
        "CLASSIFICATION\t| Specifies that the embeddings will be used for classification.\n",
        "CLUSTERING\t| Specifies that the embeddings will be used for clustering."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jkS_EWfAXcxc"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "ad5cffc186b94093948d6db7ff32c1c9",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0/600 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from tqdm.auto import tqdm\n",
        "tqdm.pandas()\n",
        "\n",
        "from google.api_core import retry\n",
        "\n",
        "def make_embed_text_fn(model):\n",
        "\n",
        "  @retry.Retry(timeout=300.0)\n",
        "  def embed_fn(text: str) -> list[float]:\n",
        "    # Set the task_type to CLUSTERING.\n",
        "    embedding = genai.embed_content(model=model,\n",
        "                                    content=text,\n",
        "                                    task_type=\"clustering\")['embedding']\n",
        "    return np.array(embedding)\n",
        "\n",
        "  return embed_fn\n",
        "\n",
        "def create_embeddings(df):\n",
        "  model = 'models/embedding-001'\n",
        "  df['Embeddings'] = df['Text'].progress_apply(make_embed_text_fn(model))\n",
        "  return df\n",
        "\n",
        "df_train = create_embeddings(df_train)\n",
        "df_train.drop('index', axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hNTjKcD_aluG"
      },
      "source": [
        "## Dimensionality reduction\n",
        "\n",
        "The dimension of the document embedding vector is 768. In order to visualize how the embedded documents are grouped together, you will need to apply dimensionality reduction as you can only visualize the embeddings in 2D or 3D space. Contextually similar documents should be closer together in space as opposed to documents that are not as similar."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BJDHDQmeZqy2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "768"
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(df_train['Embeddings'][0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "S5-XU-twaoK6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(600, 768)"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Convert df_train['Embeddings'] Pandas series to a np.array of float32\n",
        "X = np.array(df_train['Embeddings'].to_list(), dtype=np.float32)\n",
        "X.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AV-Y7iEtbAkm"
      },
      "source": [
        "You will apply the t-Distributed Stochastic Neighbor Embedding (t-SNE) approach to perform dimensionality reduction. This technique reduces the number of dimensions, while preserving clusters (points that are close together stay close together). For the original data, the model tries to construct a distribution over which other data points are \"neighbors\" (e.g., they share a similar meaning). It then optimizes an objective function to keep a similar distribution in the visualization."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FhYKF-lObC04"
      },
      "outputs": [],
      "source": [
        "tsne = TSNE(random_state=0, n_iter=1000)\n",
        "tsne_results = tsne.fit_transform(X)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "31wdqnp_bH9B"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df_tsne\",\n  \"rows\": 600,\n  \"fields\": [\n    {\n      \"column\": \"TSNE1\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 600,\n        \"samples\": [\n          38.40780258178711,\n          -52.84177780151367,\n          -8.567469596862793\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TSNE2\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 600,\n        \"samples\": [\n          -12.661993980407715,\n          -9.725647926330566,\n          -13.245820999145508\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df_tsne"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-062b66bd-5138-473c-8c06-a98b26889a03\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TSNE1</th>\n",
              "      <th>TSNE2</th>\n",
              "      <th>Class Name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>28.129379</td>\n",
              "      <td>-11.789248</td>\n",
              "      <td>sci.crypt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>26.299564</td>\n",
              "      <td>-4.172129</td>\n",
              "      <td>sci.crypt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>34.118439</td>\n",
              "      <td>-17.731606</td>\n",
              "      <td>sci.crypt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>38.964771</td>\n",
              "      <td>0.526057</td>\n",
              "      <td>sci.crypt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>41.245209</td>\n",
              "      <td>-12.786042</td>\n",
              "      <td>sci.crypt</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>595</th>\n",
              "      <td>0.323349</td>\n",
              "      <td>-4.393069</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>596</th>\n",
              "      <td>-16.115713</td>\n",
              "      <td>7.523082</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>597</th>\n",
              "      <td>-10.407278</td>\n",
              "      <td>-17.786392</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>598</th>\n",
              "      <td>-0.080828</td>\n",
              "      <td>-2.068839</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>599</th>\n",
              "      <td>-7.032851</td>\n",
              "      <td>-4.366928</td>\n",
              "      <td>sci.space</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>600 rows × 3 columns</p>\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-062b66bd-5138-473c-8c06-a98b26889a03 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-062b66bd-5138-473c-8c06-a98b26889a03');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-fe0b0e1f-df8d-48e7-9a13-a69eaa471c2f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fe0b0e1f-df8d-48e7-9a13-a69eaa471c2f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fe0b0e1f-df8d-48e7-9a13-a69eaa471c2f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_f03aeb2e-d892-4447-902b-a4a4a320b8e0\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_tsne')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_f03aeb2e-d892-4447-902b-a4a4a320b8e0 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_tsne');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "         TSNE1      TSNE2 Class Name\n",
              "0    28.129379 -11.789248  sci.crypt\n",
              "1    26.299564  -4.172129  sci.crypt\n",
              "2    34.118439 -17.731606  sci.crypt\n",
              "3    38.964771   0.526057  sci.crypt\n",
              "4    41.245209 -12.786042  sci.crypt\n",
              "..         ...        ...        ...\n",
              "595   0.323349  -4.393069  sci.space\n",
              "596 -16.115713   7.523082  sci.space\n",
              "597 -10.407278 -17.786392  sci.space\n",
              "598  -0.080828  -2.068839  sci.space\n",
              "599  -7.032851  -4.366928  sci.space\n",
              "\n",
              "[600 rows x 3 columns]"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_tsne = pd.DataFrame(tsne_results, columns=['TSNE1', 'TSNE2'])\n",
        "df_tsne['Class Name'] = df_train['Class Name'] # Add labels column from df_train to df_tsne\n",
        "df_tsne"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pTj8HfhpbJ9X"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax = plt.subplots(figsize=(8,6)) # Set figsize\n",
        "sns.set_style('darkgrid', {\"grid.color\": \".6\", \"grid.linestyle\": \":\"})\n",
        "sns.scatterplot(data=df_tsne, x='TSNE1', y='TSNE2', hue='Class Name', palette='Set2')\n",
        "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
        "plt.title('Scatter plot of news using t-SNE')\n",
        "plt.xlabel('TSNE1')\n",
        "plt.ylabel('TSNE2');"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8JQbX4pcMdBe"
      },
      "source": [
        "## Outlier detection\n",
        "\n",
        "To determine which points are anomalous, you will determine which points are inliers and outliers. Start by finding the centroid, or location that represents the center of the cluster, and use the distance to determine the points that are outliers.\n",
        "\n",
        "Start by getting the centroid of each category."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "nUIkLxtMK4qC"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"centroids\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TSNE1\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          10.636384963989258,\n          -8.314754486083984,\n          35.47942352294922\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"TSNE2\",\n      \"properties\": {\n        \"dtype\": \"float32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          18.53846549987793,\n          -7.8144426345825195,\n          -7.0634307861328125\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "centroids"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-4c6ccd47-0e2b-490d-a310-fbd5de5c21f5\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>TSNE1</th>\n",
              "      <th>TSNE2</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Class Name</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>sci.crypt</th>\n",
              "      <td>35.479424</td>\n",
              "      <td>-7.063431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.electronics</th>\n",
              "      <td>10.636385</td>\n",
              "      <td>18.538465</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.med</th>\n",
              "      <td>-38.865154</td>\n",
              "      <td>0.424798</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sci.space</th>\n",
              "      <td>-8.314754</td>\n",
              "      <td>-7.814443</td>\n",
              "    </tr>\n",
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              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "\n",
              "      .colab-df-generate:hover {\n",
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              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('centroids')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('centroids');\n",
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              "\n",
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              "  </div>\n"
            ],
            "text/plain": [
              "                     TSNE1      TSNE2\n",
              "Class Name                           \n",
              "sci.crypt        35.479424  -7.063431\n",
              "sci.electronics  10.636385  18.538465\n",
              "sci.med         -38.865154   0.424798\n",
              "sci.space        -8.314754  -7.814443"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "def get_centroids(df_tsne):\n",
        "  # Get the centroid of each cluster\n",
        "  centroids = df_tsne.groupby('Class Name').mean()\n",
        "  return centroids\n",
        "\n",
        "centroids = get_centroids(df_tsne)\n",
        "centroids"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GJH4Oo6E-r_6"
      },
      "outputs": [],
      "source": [
        "def get_embedding_centroids(df):\n",
        "  emb_centroids = dict()\n",
        "  grouped = df.groupby('Class Name')\n",
        "  for c in grouped.groups:\n",
        "    sub_df = grouped.get_group(c)\n",
        "    # Get the centroid value of dimension 768\n",
        "    emb_centroids[c] = np.mean(sub_df['Embeddings'], axis=0)\n",
        "\n",
        "  return emb_centroids"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1tas9Yg4_iyq"
      },
      "outputs": [],
      "source": [
        "emb_c = get_embedding_centroids(df_train)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aMvdYLjKl32a"
      },
      "source": [
        "Plot each centroid you have found against the rest of the points."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "jpN02WY3Ogji"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot the centroids against the cluster\n",
        "fig, ax = plt.subplots(figsize=(8,6)) # Set figsize\n",
        "sns.set_style('darkgrid', {\"grid.color\": \".6\", \"grid.linestyle\": \":\"})\n",
        "sns.scatterplot(data=df_tsne, x='TSNE1', y='TSNE2', hue='Class Name', palette='Set2');\n",
        "sns.scatterplot(data=centroids, x='TSNE1', y='TSNE2', color=\"black\", marker='X', s=100, label='Centroids')\n",
        "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
        "plt.title('Scatter plot of news using t-SNE with centroids')\n",
        "plt.xlabel('TSNE1')\n",
        "plt.ylabel('TSNE2');"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "onFfUf1XoEQW"
      },
      "source": [
        "Choose a radius. Anything beyond this bound from the centroid of that category is considered an outlier."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "87cDfNpvOu7f"
      },
      "outputs": [],
      "source": [
        "def calculate_euclidean_distance(p1, p2):\n",
        "  return np.sqrt(np.sum(np.square(p1 - p2)))\n",
        "\n",
        "def detect_outlier(df, emb_centroids, radius):\n",
        "  for idx, row in df.iterrows():\n",
        "    class_name = row['Class Name'] # Get class name of row\n",
        "    # Compare centroid distances\n",
        "    dist = calculate_euclidean_distance(row['Embeddings'],\n",
        "                                        emb_centroids[class_name])\n",
        "    df.at[idx, 'Outlier'] = dist > radius\n",
        "\n",
        "  return len(df[df['Outlier'] == True])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CsVsod5MKd3X"
      },
      "outputs": [],
      "source": [
        "range_ = np.arange(0.3, 0.75, 0.02).round(decimals=2).tolist()\n",
        "num_outliers = []\n",
        "for i in range_:\n",
        "  num_outliers.append(detect_outlier(df_train, emb_c, i))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vReUSOjbNHQv"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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D7dixQzVr1lTnzp315z//WVWrVo3e56OPPqqnn35a999/v2zb1iOPPKKLL75Y48aN04MPPqiXX35ZycnJOvfcczV8+HANHDiwxMvyyCOPqGXLlvrggw/0+OOPq2rVqmrTpo06dOgQvc3111+vpk2b6o033tALL7wgSapfv77OOuss9e7du8Q/GwAAJA5f5MhjlgEAAAAAAIAjcE4kAAAAAAAAFIlBJAAAAAAAABSJQSQAAAAAAAAUiUEkAAAAAAAAFIlBJAAAAAAAABSJQSQAAAAAAAAUiUEkAAAAAAAAFIlBJAAAAAAAABSJQSQAAAAAAAAUiUEkAAAAAAAAFIlBJAAAAAAAABSJQSQAAAAAAAAU6f8B7JZGtLDhwFYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1400x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plot range_ and num_outliers\n",
        "fig = plt.figure(figsize = (14, 8))\n",
        "plt.rcParams.update({'font.size': 12})\n",
        "plt.bar(list(map(str, range_)), num_outliers)\n",
        "plt.title(\"Number of outliers vs. distance of points from centroid\")\n",
        "plt.xlabel(\"Distance\")\n",
        "plt.ylabel(\"Number of outliers\")\n",
        "for i in range(len(range_)):\n",
        "  plt.text(i, num_outliers[i], num_outliers[i], ha = 'center')\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gNISxrzwGvBH"
      },
      "source": [
        "Depending on how sensitive you want your anomaly detector to be, you can choose which radius you would like to use. For now, 0.62 is used, but you can change this value."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PMNFFSDOTELn"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df_outliers\",\n  \"rows\": 106,\n  \"fields\": [\n    {\n      \"column\": \"Text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 106,\n        \"samples\": [\n          \"MAILRP%message from Space Digest\\nX-Added: Forwarded by Space Digest\\nOrganization: [via International Space University]\\nOriginal-Sender: \\nDistribution: sci\\nLines: 58\\n\\n\\n\\n\\n\\nJoint Press release ESA/UN No 18-93\\nParis, 19 April 1993\\n\\nUN/ESA joint training course on satellite applications\\nto be held in Italy, 19-30 April\\n\\nThe United Nations and the European Space Agency \\nare jointly organising a training course on the applications of\\nsatellite data gathered by the European Remote Sensing\\nSatellite , to be held in Frascati, Italy, from 19 to 30\\nApril. The training course will discuss the applications of\\nsatellite data concerning natural resources, renewable energy\\nand the environment.\\n\\nThe training course, organised for the benefit of francophone\\nAfrican experts, will be hosted by ESRIN, the European Space\\nAgency's establishment in Frascati, which is responsible for\\ncoordination with the users of data from ESA's remote sensing\\nsatellite. Twenty-four experts in the field of remote sensing,\\nselected from 19 francophone countries from northern, western\\nand central Africa, and three regional African centres, will\\nattend the two-week session. The course will focus on remote\\nsensing techniques and data applications, particularly ERS-1\\ndata.\\n\\nThe ERS-1 satellite, developed by ESA and launched in 1991\\nwith the European Ariane launcher, carries an advanced radar\\ninstrument and is the first in a series of radar remote sensing\\nmissions that will ensure availability of data beyond the year\\n2000. The aim of the training course is to increase the\\npotential of experts using the practical applications of radar\\nremote sensing systems to natural resources, renewable energy\\nand the environment, with particular emphasis on applications\\nto geology and mineral prospecting, oceanography and near-\\ncoastal areas, agriculture, forestry and meteorology.\\n\\nThe education and practical training programme was\\ndeveloped jointly by the United Nations and ESA. The\\nfacilities and the technical support, as well as lecturers and\\ninformation documents for the training course, will be\\nprovided by the Agency. Lecturers at the training course will\\ninclude high-level experts from other European and African\\norganisations active in remote sensing applications. Funds for\\nthe training course are being provided by the United Nations\\n\\n\\n\\nTrust Fund for New and Renewable Sources of Energy; the\\nprimary contributor to that Fund is the Government of Italy.\\n\\nA similar training course is being planned for Latin American\\nexperts.\\n\\n\\n\",\n          \" Re: MacPGP 2.2 Source Problems\\nOrganization: capriccioso\\nX-Newsreader: TIN [version 1.1 PL6]\\nLines: 19\\n\\nYes -- my error -- you will need the DIFF between the\\nstandard console.h and console.c supplied with\\nSymantec's THINK C 5.0.4 and the specially modified\\none that works with MacPGP 2.2.\\n\\nI added the two DIFFs to the end of the signature\\nfile \\\"MacPGP2.2srcSIGNATURE\\\" in pub/grady of netcom.com\\n\\nPlease download via anonymous FTP and, using SED ,\\ncutting and pasting, fix-em-up.        \\n\\nWill one of you Mac-geniuses PLEASE port this to MacApp\\nor AppMaker, or...?\\n\\nGrady\\n\\n-- \\n  2EF221 / 15 E2 AD D3 D1 C6 F3 FC  58 AC F7 3D 4F 01 1E 2F\\n\\n\",\n          \" ISSA '93 Conference\\nOrganization: Chinet - Public Access UNIX\\nDistribution: usa\\nLines: 4\\n\\nIf there is anyone attending the ISSA conference in Arlington, VA next\\nweek, I would appreciate them getting in touch with me.\\n\\nBruce\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Label\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 11,\n        \"max\": 14,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          12,\n          14,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Class Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"sci.electronics\",\n          \"sci.space\",\n          \"sci.crypt\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Embeddings\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Outlier\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"True\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
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            "text/plain": [
              "                                                 Text  Label Class Name  \\\n",
              "11   Re: List of large integer arithmetic packages...     11  sci.crypt   \n",
              "13  Marc VanHeyningen <>RIPEM Frequently Asked Que...     11  sci.crypt   \n",
              "14   Re: Once tapped, your code is no good any mor...     11  sci.crypt   \n",
              "30   Re: The source of that announcement\\nOrganiza...     11  sci.crypt   \n",
              "33   ISSA '93 Conference\\nOrganization: Chinet - P...     11  sci.crypt   \n",
              "\n",
              "                                           Embeddings Outlier  \n",
              "11  [-0.0055461614, 0.0061755483, -0.060710818, -0...    True  \n",
              "13  [0.016936606, -0.03775989, -0.031252615, -0.02...    True  \n",
              "14  [0.0175999, -0.04498857, 0.028067622, -0.04195...    True  \n",
              "30  [0.0148236565, -0.023995584, -0.05186253, -0.0...    True  \n",
              "33  [0.04542695, -0.0045831418, -0.026651457, -0.0...    True  "
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# View the points that are outliers\n",
        "RADIUS = 0.62\n",
        "detect_outlier(df_train, emb_c, RADIUS)\n",
        "df_outliers = df_train[df_train['Outlier'] == True]\n",
        "df_outliers.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "h_wbM5yYE4MS"
      },
      "outputs": [],
      "source": [
        "# Use the index to map the outlier points back to the projected TSNE points\n",
        "outliers_projected = df_tsne.loc[df_outliers['Outlier'].index]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xCt4wfYdoTJz"
      },
      "source": [
        "Plot the outliers and denote them using a transparent red color."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IrAKwBp0TaNu"
      },
      "outputs": [
        {
          "data": {
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\n",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax = plt.subplots(figsize=(8,6)) # Set figsize\n",
        "plt.rcParams.update({'font.size': 10})\n",
        "sns.set_style('darkgrid', {\"grid.color\": \".6\", \"grid.linestyle\": \":\"})\n",
        "sns.scatterplot(data=df_tsne, x='TSNE1', y='TSNE2', hue='Class Name', palette='Set2');\n",
        "sns.scatterplot(data=centroids, x='TSNE1', y='TSNE2', color=\"black\", marker='X', s=100, label='Centroids')\n",
        "# Draw a red circle around the outliers\n",
        "sns.scatterplot(data=outliers_projected, x='TSNE1', y='TSNE2', color='red', marker='o', alpha=0.5, s=90, label='Outliers')\n",
        "sns.move_legend(ax, \"upper left\", bbox_to_anchor=(1, 1))\n",
        "plt.title('Scatter plot of news with outliers projected with t-SNE')\n",
        "plt.xlabel('TSNE1')\n",
        "plt.ylabel('TSNE2');"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RVm_A9HmGwEN"
      },
      "source": [
        "Use the index values of the datafames to print a few examples of what outliers can look like in each category. Here, the first data point from each category is printed out. Explore other points in each category to see data that are deemed as outliers, or anomalies."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lpZ-hcDvG13M"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Re: List of large integer arithmetic packages\n",
            "In-Reply-To: 's message of 20 Apr 1993 16: 47:03 GMT\n",
            "Organization: York U. Student Information Systems Project\n",
            "Lines: 18\n",
            "\n",
            "Mark Riordan writes:\n",
            "\n",
            "\t[a list of large-integer arithmetic packages elided]\n",
            "\n",
            "I thought I would note that except Lenstra's packages, none of the\n",
            "large-integer packages are in the public domain. As an alternative,\n",
            "a straightforward *PD* implementation of Knuth's algorithms may be\n",
            "found as a part of Uof Arizona's ICON distribution.\n",
            "\n",
            "oz\n",
            "---\n",
            "With diligence, it is possible to make | electric: \n",
            "anything run slowly.        --Tom Duff | ph:[416] 736 2100 x 33976\n",
            "\n",
            "\t\t\t\n",
            "\n",
            "\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_crypt_outliers = df_outliers[df_outliers['Class Name'] == 'sci.crypt']\n",
        "print(sci_crypt_outliers['Text'].iloc[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SPsQB3eHJN25"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " How starters work really\n",
            "Keywords: fluorescent bulb starter neon\n",
            "Nntp-Posting-Host: turbo_f.seas.smu.edu\n",
            "Organization: SMU - School of Engineering & Applied Science - Dallas\n",
            "Lines: 28\n",
            "\n",
            "In article <>   writes:\n",
            ">\n",
            ">So when you turn on the power, this causes the bulb to work like a neon, \n",
            ">heating up and shorting out, thus providing a loop to power the heaters in \n",
            ">the main tube. When the tube fires, insufficient current runs through the \n",
            ">starter to keep the heat up and the bi-metalic strip straightens out \n",
            ">.\n",
            "\n",
            "Imprecise. This description\n",
            "\n",
            " 1. ignores the role of the ballast,\n",
            " 2. misrepresents the heating effects in the starter.\n",
            "\n",
            "The bimetalic strip cools down immediately after the contacts\n",
            "short circuit, because the neon discharge stops, and much less\n",
            "heat is generated from the I^2R loss in the metal as compared to\n",
            "the neon discharge.\n",
            "\n",
            "The starter contacts open before the tube fires.  Actually,\n",
            "the tube fires as a result of the back-emf generated in the ballast\n",
            "because of this immediate opening of the starter's contacts.\n",
            "\n",
            "A capacitor is connected in parallel with the contacts to prevent\n",
            "excessive arcing during the firing.  The neon reionizes but does not draw\n",
            "sufficient current to prevent firing of the tube itself.\n",
            "-- \n",
            "Mustafa Kocaturk     EE Dept., Room 305A, Caruth Bldg.\n",
            "Home: 214-706-5954  Office: 214-768-1475  SMU Box 753190, Dallas, TX 75275\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_elec_outliers = df_outliers[df_outliers['Class Name'] == 'sci.electronics']\n",
        "print(sci_elec_outliers['Text'].iloc[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "APPg8TURJ9yt"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "kxgst1+@pitt.edu Re: Do we need a Radiologist to read an Ultrasound?\n",
            "Organization: University of Pittsburgh\n",
            "Lines: 31\n",
            "\n",
            "In article <>  writes:\n",
            ":My wife's ob-gyn has an ultrasound machine in her office.  When\n",
            ":the doctor couldn't hear a fetal heartbeat  she used\n",
            ":the ultrasound to see if everything was ok.  \n",
            ":\n",
            ":On her next visit, my wife asked another doctor in the office if\n",
            ":they read the ultrasounds themselves or if they had a radiologist\n",
            ":read the pictures.  The doctor very vehemently insisted that they\n",
            ":were qualified to read the ultrasound and radiologists were NOT!\n",
            ":\n",
            ":[stuff deleted]\n",
            "\n",
            "This is one of those sticky areas of medicine where battles frequently\n",
            "rage.  With respect to your OB, I suspect that she has been certified in\n",
            "ultrasound diagnostics, and is thus allowed to use it and bill for its\n",
            "use.  Many cardiologists also use ultrasound , and are\n",
            "in fact considered by many to be the 'experts'.  I am not sure where OBs\n",
            "stand in this regard, but I suspect that they are at least as good as the\n",
            "radioligists .\n",
            "    \n",
            "   \n",
            "   \n",
            "   \n",
            "   \n",
            "\n",
            "\n",
            "-- \n",
            "=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-|-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=\n",
            "=  Kenneth Gilbert              __|__        University of Pittsburgh   =\n",
            "=  General Internal Medicine      |      \"...dammit, not a programmer!\" =\n",
            "=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-|-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=\n",
            "\n"
          ]
        }
      ],
      "source": [
        "sci_med_outliers = df_outliers[df_outliers['Class Name'] == 'sci.med']\n",
        "print(sci_med_outliers['Text'].iloc[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WeoJF7c8KB49"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Astro/Space Frequently Seen Acronyms\n",
            "Supersedes: <space/>\n",
            "Organization: LifeForms Unlimited, Cephalopods\n",
            "Lines: 509\n",
            "Expires: 19 May 1993 04:00:04 GMT\n",
            "NNTP-Posting-Host: pad-thai.aktis.com\n",
            "Keywords: long space astro tla acronyms\n",
            "X-Last-Updated: 1992/12/07\n",
            "\n",
            "Archive-name: space/acronyms\n",
            "Edition: 8\n",
            "\n",
            "Acronym List for sci.astro, sci.space, and sci.space.shuttle:\n",
            "Edition 8, 1992 Dec 7\n",
            "Last posted: 1992 Aug 27\n",
            "\n",
            "This list is offered as a reference for translating commonly appearing\n",
            "acronyms in the space-related newsgroups.  If I forgot or botched your\n",
            "favorite acronym, please let me know!  Also, if there's an acronym *not*\n",
            "on this list that confuses you, drop me a line, and if I can figure\n",
            "it out, I'll add it to the list.\n",
            "\n",
            "Note that this is intended to be a reference for *frequently seen*\n",
            "acronyms, and is most emphatically *not* encyclopedic.  If I incorporated\n",
            "every acronym I ever saw, I'd soon run out of disk space!  :-)\n",
            "\n",
            "The list will be posted at regular intervals, every 30 days.  All\n",
            "comments regarding it are welcome; I'm reachable as \n",
            "\n",
            "Note that this just tells what the acronyms stand for -- you're on your\n",
            "own for figuring out what they *mean*!  Note also that the total number of\n",
            "acronyms in use far exceeds what I can list; special-purpose acronyms that\n",
            "are essentially always explained as they're introduced are omitted.\n",
            "Further, some acronyms stand for more than one thing; as of Edition 3 of\n",
            "the list, these acronyms appear on multiple lines, unless they're simply\n",
            "different ways of referring to the same thing.\n",
            "\n",
            "Thanks to everybody who's sent suggestions since the first version of\n",
            "the list, and especially to Garrett A. Wollman ,\n",
            "who is maintaining an independent list, somewhat more verbose in\n",
            "character than mine, and to Daniel Fischer ,\n",
            "who is maintaining a truly HUGE list  of acronyms and\n",
            "terms, mostly in German .\n",
            "\n",
            "Special thanks this time to Ken Hollis at NASA, who sent me a copy of NASA\n",
            "Reference Publication 1059 Revised: _Space Transportation System and\n",
            "Associated Payloads: Glossary, Acronyms, and Abbreviations_, a truly\n",
            "mammoth tome -- almost 300 pages of TLAs.\n",
            "\n",
            "Special Bonus!  At the end of this posting, you will find a perl program\n",
            "written by none other than Larry Wall, whose purpose is to scramble the\n",
            "acronym list in an entertaining fashion.  Thanks, Larry!\n",
            "\n",
            "A&A: Astronomy and Astrophysics\n",
            "AAO: Anglo-Australian Observatory\n",
            "AAS: American Astronomical Society\n",
            "AAS: American Astronautical Society\n",
            "AAVSO: American Association of Variable Star Observers\n",
            "ACE: Advanced Composition Explorer\n",
            "ACRV: Assured Crew Return Vehicle  Astronaut Crew Rescue Vehicle\n",
            "ADFRF: Ames-Dryden Flight Research Facility  \n",
            "AGN: Active Galactic Nucleus\n",
            "AGU: American Geophysical Union\n",
            "AIAA: American Institute of Aeronautics and Astronautics\n",
            "AIPS: Astronomical Image Processing System\n",
            "AJ: Astronomical Journal\n",
            "ALEXIS: Array of Low Energy X-ray Imaging Sensors\n",
            "ALPO: Association of Lunar and Planetary Observers\n",
            "ALS: Advanced Launch System\n",
            "ANSI: American National Standards Institute\n",
            "AOA: Abort Once Around \n",
            "AOCS: Attitude and Orbit Control System\n",
            "Ap.J: Astrophysical Journal\n",
            "APM: Attached Pressurized Module \n",
            "APU: Auxiliary Power Unit\n",
            "ARC: Ames Research Center \n",
            "ARTEMIS: Advanced Relay TEchnology MISsion\n",
            "ASA: Astronomical Society of the Atlantic\n",
            "ASI: Agenzia Spaziale Italiano\n",
            "ASRM: Advanced Solid Rocket Motor\n",
            "ATDRS: Advanced Tracking and Data Relay Satellite\n",
            "ATLAS: Atmospheric Laboratory for Applications and Science\n",
            "ATM: Amateur Telescope Maker\n",
            "ATO: Abort To Orbit \n",
            "AU: Astronomical Unit\n",
            "AURA: Association of Universities for Research in Astronomy\n",
            "AW&ST: Aviation Week and Space Technology \n",
            "AXAF: Advanced X-ray Astrophysics Facility\n",
            "BATSE: Burst And Transient Source Experiment \n",
            "BBXRT: Broad-Band X-Ray Telescope \n",
            "BEM: Bug-Eyed Monster\n",
            "BH: Black Hole\n",
            "BIMA: Berkeley Illinois Maryland Array\n",
            "BNSC: British National Space Centre\n",
            "BTW: By The Way\n",
            "C&T: Communications & Tracking\n",
            "CCAFS: Cape Canaveral Air Force Station\n",
            "CCD: Charge-Coupled Device\n",
            "CCDS: Centers for the Commercial Development of Space\n",
            "CD-ROM: Compact Disk Read-Only Memory\n",
            "CFA: Center For Astrophysics\n",
            "CFC: ChloroFluoroCarbon\n",
            "CFF: Columbus Free Flyer\n",
            "CFHT: Canada-France-Hawaii Telescope\n",
            "CGRO:  Compton Gamma Ray Observatory \n",
            "CHARA: Center for High Angular Resolution Astronomy\n",
            "CIRRIS: Cryogenic InfraRed Radiance Instrument for Shuttle\n",
            "CIT: Circumstellar Imaging Telescope\n",
            "CM: Command Module \n",
            "CMCC: Central Mission Control Centre \n",
            "CNES: Centre National d'Etude Spatiales\n",
            "CNO: Carbon-Nitrogen-Oxygen\n",
            "CNSR: Comet Nucleus Sample Return\n",
            "COBE: COsmic Background Explorer\n",
            "COMPTEL: COMPton TELescope \n",
            "COSTAR: Corrective Optics Space Telescope Axial Replacement\n",
            "CRAF: Comet Rendezvous / Asteroid Flyby\n",
            "CRRES: Combined Release / Radiation Effects Satellite\n",
            "CSM: Command and Service Module \n",
            "CSTC: Consolidated Satellite Test Center \n",
            "CTIO: Cerro Tololo Interamerican Observatory\n",
            "DCX: Delta Clipper eXperimental\n",
            "DDCU: DC-to-DC Converter Unit\n",
            "DFRF: Dryden Flight Research Facility \n",
            "DMSP: Defense Meteorological Satellite Program\n",
            "D\n"
          ]
        }
      ],
      "source": [
        "sci_space_outliers = df_outliers[df_outliers['Class Name'] == 'sci.space']\n",
        "print(sci_space_outliers['Text'].iloc[0])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "siaPlEJhh0pr"
      },
      "source": [
        "## Next steps\n",
        "\n",
        "You've now created an anomaly detector using embeddings! Try using your own textual data to visualize them as embeddings, and choose some bound such that you can detect outliers. You can perform dimensionality reduction in order to complete the visualization step. Note that t-SNE is good at clustering inputs, but can take a longer time to converge or might get stuck at local minima. If you run into this issue, another technique you could consider are [principal components analysis (PCA)](https://en.wikipedia.org/wiki/Principal_component_analysis)."
      ]
    }
  ],
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